Reducing energy consumption within buildings has been an active area of research in the past decade; more recently, there has been an increased influx of activity, motivated by a …
Appliance Load Monitoring (ALM) is essential for energy management solutions, allowing them to obtain appliance-specific energy consumption statistics that can further be used to …
Non-intrusive load monitoring, or energy disaggregation, aims to separate household energy consumption data collected from a single point of measurement into appliance-level …
Electricity load monitoring of appliances has become an important task considering the recent economic and ecological trends. In this game, machine learning has an important …
Chapter Overview Energy disaggregation, or nonintrusive load monitoring (NILM), aims at estimating the power demand of individual appliances from a household's aggregate …
This paper presents the current state of the art regarding work performed related to the electric energy consumption for Information and Communication Technologies (ICTs) and …
S Giri, M Bergés - Energy Conversion and Management, 2015 - Elsevier
Abstract Non-Intrusive Load Monitoring (NILM) is a set of techniques used to estimate the electricity consumed by individual appliances in a building from measurements of the total …
A Rowe, M Berges, R Rajkumar - … of the 2nd ACM workshop on …, 2010 - dl.acm.org
Non-Intrusive Load Monitoring (NILM) is a promising technique for disaggregating per- appliance energy consumption in buildings from aggregate voltage/current measurements …
Provision of training data sets is one of the core requirements for event-based supervised NILM (Non-Intrusive Load Monitoring) algorithms. Due to diversity in appliances' …